Jiang Long
- Oncology top 1%
- Pancreatic and Hepatic Oncology Research 61
- Lung Cancer Research Studies 11
- Cancer Cells and Metastasis 9
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 10
- Biomaterials top 5%
- Epidemiology top 5%
- Neuroendocrine Tumor Research Advances 30
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 8
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- Pancreatitis Pathology and Treatment 17
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- Renal cell carcinoma treatment 7
- Cited by
- OncologyCancer ResearchBiomaterials
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jiang Long
151 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 161
- Oncology 2.4k
- Cancer Research 965
- Biomaterials 297
- Epidemiology 704
- Molecular Biology 1.4k
Countries citing papers authored by Jiang Long
This map shows the geographic impact of Jiang Long's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jiang Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Long more than expected).
Fields of papers citing papers by Jiang Long
This network shows the impact of papers produced by Jiang Long. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jiang Long. The network helps show where Jiang Long may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiang Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 20 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 30 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 51 | |
| 11 | LncRNA SNHG7 Functions as an Oncogene in Cervical Cancer by Sponging miR-485-5p to Modulate JUND Expression | 2020 | 1 |
| 12 | 2019 | 8 | |
| 13 | 2019 | 17 | |
| 14 | 2016 | 54 | |
| 15 | 2015 | 13 | |
| 16 | 2014 | 105 | |
| 17 | Effect of bulleyaconitin A on the chemotaxis of mouse peritoneal macrophages | 2011 | 2 |
| 18 | 2011 | 8 | |
| 19 | Model of Satellite System State Evaluation Based on Bayers Network | 2010 | 1 |
| 20 | 2009 | 123 |
About Jiang Long
Jiang Long is a scholar working on Oncology, Cancer Research, Epidemiology, Virology and Hepatology, having authored 158 papers that have together received 4.6k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (61 papers), Neuroendocrine Tumor Research Advances (30 papers), Pancreatitis Pathology and Treatment (17 papers), Lung Cancer Research Studies (11 papers), Cancer Genomics and Diagnostics (10 papers), Cancer Cells and Metastasis (9 papers), Epigenetics and DNA Methylation (8 papers) and Renal cell carcinoma treatment (7 papers). The work is most often cited by research in Oncology (2.4k citations), Cancer Research (965 citations), Biomaterials (297 citations), Epidemiology (704 citations) and Molecular Biology (1.4k citations). Jiang Long has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xianjun Yu, Jin Xu, Chen Liu, Quanxing Ni, Guopei Luo, Liang Liu, Feng Yang, Meng Guo, Chen Jin and Kaizhou Jin. Their work appears in journals such as Pancreatology, Current Molecular Medicine, Cancer Letters, International Journal of Oncology and Biochimica et Biophysica Acta (BBA) - Reviews on Cancer.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.